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Structural, Syntactic, and Statistical Pattern Recognition

Joint IAPR International Workshops, SSPR 2006 and SPR 2006, Hong Kong, China, August 17-19, 2006. Proceedings

  • Dit-Yan Yeung
  • James T. Kwok
  • Ana Fred
  • Fabio Roli
  • Dick de Ridder

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4109)

Table of contents

  1. Front Matter
  2. Invited Talks

  3. SSPR

    1. Image Analysis

    2. Vision

      1. Roberto Fraile, Edwin Hancock
        Pages 92-99
      2. A. Negre, H. Tran, N. Gourier, D. Hall, A. Lux, J. L. Crowley
        Pages 100-108
      3. Pakaket Wattuya, Xiaoyi Jiang
        Pages 109-117
    3. Character Recognition

      1. Yan Jiang, Xiaoqing Ding, Qiang Fu, Zheng Ren
        Pages 127-135
      2. Christopher Malon, Seiichi Uchida, Masakazu Suzuki
        Pages 136-144
    4. Bayesian Networks

      1. Yaniv Gurwicz, Boaz Lerner
        Pages 145-153
    5. Graph-Based Methods

      1. Michel Neuhaus, Kaspar Riesen, Horst Bunke
        Pages 163-172
      2. Bai Xiao, Edwin R Hancock
        Pages 173-181
      3. Adrian Ion, Walter G. Kropatsch, Yll Haxhimusa
        Pages 182-190
    6. Similarity and Feature Extraction

      1. Michel Neuhaus, Horst Bunke
        Pages 191-199
      2. Juan Ramón Rico-Juan, José M. Iñesta
        Pages 200-207
  4. Poster Papers

    1. Image and Video

      1. Ki-Ryong Kwon, Suk-Hwan Lee, Eung-Joo Lee, Seong-Geun Kwon
        Pages 217-225
      2. Yuliang Geng, De Xu, Songhe Feng
        Pages 226-234
      3. Baojiang Zhong, Wenhe Liao
        Pages 235-242
    2. Vision

      1. Silke Jänichen, Petra Perner
        Pages 243-251
      2. Wang Kedong, Yan Lei, Deng Wei, Zhang Junhong
        Pages 252-260
      3. JaeMu Yun, EunTae Lyu, JangMyung Lee
        Pages 261-269
      4. Alexander Woodward, Da An, Yizhe Lin, Patrice Delmas, Georgy Gimel’farb, John Morris
        Pages 270-278
      5. Xiaoxin Guo, Zhiwen Xu, Yueping Feng, Yunxiao Wang, Zhengxuan Wang
        Pages 279-286
    3. Kernel-Based Methods

      1. Barbara Spillmann, Michel Neuhaus, Horst Bunke, Elżbieta Pękalska, Robert P. W. Duin
        Pages 287-296
      2. Mohammad Reza Daliri, Elisabetta Delponte, Alessandro Verri, Vincent Torre
        Pages 297-305
      3. Bai Xiao, Edwin R. Hancock
        Pages 306-313
      4. Byung-Joo Kim, Chang-Bum Lee, Il-Kon Kim
        Pages 314-321
    4. Recognition and Classification

      1. Jonghwa Choi, Dongkyoo Shin, Dongil Shin
        Pages 322-330
      2. Monica Bianchini, Marco Maggini, Lorenzo Sarti
        Pages 331-339
      3. Yuliang Geng, De Xu, Songhe Feng, Jiazheng Yuan
        Pages 340-348
      4. Chulhan Lee, Sanghoon Lee, Jaihie Kim
        Pages 358-365
      5. Hyun Hee Park, Hyung Gu Lee, Seung-In Noh, Jaihie Kim
        Pages 366-374
      6. Ho Gi Jung, Dong Suk Kim, Pal Joo Yoon, Jaihie Kim
        Pages 384-393
    5. Similarity and Feature Extraction

      1. Francesc Serratosa, Alberto Sanfeliu
        Pages 394-402
      2. Jose Oncina, Marc Sebban
        Pages 403-411
    6. Document Analysis

    7. Graph-Based Methods

      1. Huaijun Qiu, Edwin R. Hancock
        Pages 441-449
      2. Yangqiu Song, Changshui Zhang, Jianguo Lee
        Pages 450-458

About these proceedings

Keywords

Bayesian network Monte Carlo Method bayesian networks biometrics clustering document analysis feature extraction graphical pattern recognition image analysis modeling object recognition pattern recognition robot statistic statistics

Editors and affiliations

  • Dit-Yan Yeung
    • 1
  • James T. Kwok
    • 2
  • Ana Fred
    • 3
  • Fabio Roli
    • 4
  • Dick de Ridder
    • 5
  1. 1.Hong Kong University of Science and Technology 
  2. 2.Department of Computer ScienceHong Kong University of Science and TechnologyKowloon, Hong KongChina
  3. 3.Instituto de TelecomunicaçõesInstituto Superior TécnicoLisbonPortugal
  4. 4.Department of Electrical and Electronic EngineeringUniversity of CagliariCagliariItaly
  5. 5.Faculty of Electrical Engineering, Mathematics and Computer Science, Information and Communication Theory GroupDelft University of TechnologyDelftThe Netherlands

Bibliographic information

  • DOI https://doi.org/10.1007/11815921
  • Copyright Information Springer-Verlag Berlin Heidelberg 2006
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-37236-3
  • Online ISBN 978-3-540-37241-7
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site